| Arrow IPC read fails — endianness mismatch between writer and reader |
— |
data |
serialization |
75% |
82% |
ai_generated |
| ArrowInvalid: schema mismatch between record batches |
— |
data |
schema_error |
82% |
86% |
ai_generated |
| SchemaCompatibilityException: incompatible schema change |
— |
data |
schema_error |
80% |
84% |
ai_generated |
| Schema registry conflict — Avro schema evolution breaks compatibility |
— |
data |
serialization |
82% |
87% |
ai_generated |
| Base64 decoding fails with 'Invalid character' for URL-transmitted tokens or JWT segments |
— |
data |
encoding |
88% |
90% |
ai_generated |
| Quota exceeded: too many concurrent queries |
— |
data |
quota_error |
82% |
86% |
ai_generated |
| ClickHouse: memory limit exceeded for query |
— |
data |
resource_error |
80% |
84% |
ai_generated |
| CSV parser produces wrong number of fields or corrupted rows with multiline cell values |
— |
data |
parsing |
88% |
92% |
ai_generated |
| UnicodeDecodeError: codec cant decode byte |
— |
data |
encoding_error |
82% |
86% |
ai_generated |
| Excel executes formulas when opening CSV exported from web application, enabling code execution |
— |
data |
security |
90% |
92% |
ai_generated |
| AnalysisException: Partition column not found |
— |
data |
schema_error |
80% |
84% |
ai_generated |
| DataQualityException: data quality check failed |
— |
data |
quality_error |
80% |
84% |
ai_generated |
| Compilation Error: model depends on missing source |
— |
data |
build_error |
82% |
86% |
ai_generated |
| DeltaAnalysisException: concurrent modification conflict |
— |
data |
concurrency_error |
80% |
84% |
ai_generated |
| Data freshness check failed: source data is stale |
— |
data |
quality_error |
75% |
80% |
ai_generated |
| Date calculations off by 1 day when converting Excel serial numbers, or Feb 29 1900 appears in data |
— |
data |
date_handling |
85% |
88% |
ai_generated |
| FeatureStoreError: feature values are stale |
— |
data |
quality_error |
78% |
82% |
ai_generated |
| CheckpointException: checkpoint timeout exceeded |
— |
data |
runtime_error |
78% |
82% |
ai_generated |
| JSON serialized float value 0.1 + 0.2 becomes 0.30000000000000004 causing comparison failures |
— |
data |
serialization |
85% |
90% |
ai_generated |
| IOException: Could not connect to NameNode |
— |
data |
connection_error |
78% |
82% |
ai_generated |
| IcebergException: table metadata corrupted |
— |
data |
data_error |
78% |
82% |
ai_generated |
| ISO 8601 duration P1M parsed as 1 minute instead of 1 month, or vice versa |
— |
data |
datetime |
85% |
88% |
ai_generated |
| ValidationError: data does not match JSON schema |
— |
data |
validation_error |
85% |
88% |
ai_generated |
| json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes at trailing comma |
— |
data |
parsing |
92% |
95% |
ai_generated |
| ConnectException: sink task failed to put records |
— |
data |
runtime_error |
78% |
82% |
ai_generated |
| DataLineageError: lineage information missing for transformation |
— |
data |
quality_error |
78% |
82% |
ai_generated |
| Timestamp deserialization fails — msgpack extension type mismatch across languages |
— |
data |
serialization |
80% |
85% |
ai_generated |
| SchemaColumnConvertNotSupportedException: column type mismatch |
— |
data |
schema_error |
80% |
84% |
ai_generated |
| ArrowInvalid: Schema mismatch — Parquet files have incompatible schemas |
— |
data |
serialization |
85% |
88% |
ai_generated |
| Data corruption — Protobuf field number reused after deletion |
— |
data |
serialization |
70% |
90% |
ai_generated |
| TypeError: Descriptors cannot be created from ProtoBuf |
— |
data |
version_error |
82% |
86% |
ai_generated |
| SchemaRegistryException: schema evolution rejected |
— |
data |
schema_error |
80% |
84% |
ai_generated |
| ExecutorLostFailure: Out of memory error in executor |
— |
data |
memory_error |
78% |
83% |
ai_generated |
| MigrationError: migration version conflict |
— |
data |
migration_error |
80% |
84% |
ai_generated |
| BackpressureException: downstream consumer too slow |
— |
data |
performance_error |
78% |
82% |
ai_generated |
| Datetime comparison produces silently wrong results when mixing timezone-aware and naive datetimes |
— |
data |
datetime |
90% |
92% |
ai_generated |
| File parsing fails or produces unexpected characters at the beginning despite looking correct in editor |
— |
data |
encoding |
88% |
90% |
ai_generated |
| XMLSyntaxError: namespace prefix already declared |
— |
data |
parse_error |
80% |
84% |
ai_generated |
| yaml.scanner.ScannerError: mapping values are not allowed here |
— |
data |
parse_error |
88% |
90% |
ai_generated |
| YAML file silently converts country code 'NO' to boolean False, or version '1.0' to float |
— |
data |
parsing |
92% |
95% |
ai_generated |
| CSV float precision loss when reading/writing with pandas read_csv |
— |
data |
data_error |
88% |
85% |
ai_generated |
| Parquet decimal precision overflow when reading into pandas |
ArrowNotImplementedError |
data |
type_error |
85% |
83% |
ai_generated |
| JSON parser silently reads BOM character as part of first key name |
— |
data |
encoding_error |
95% |
88% |
ai_generated |
| Avro serialization fails with SchemaRegistryException: incompatible schema version |
SchemaRegistryException |
data |
schema_error |
82% |
87% |
ai_generated |
| Parquet row group size mismatch causes memory error during read |
OutOfMemoryError |
data |
resource_error |
86% |
84% |
ai_generated |
| JSON Schema validation fails with timeout when resolving remote $ref URIs |
ValidationError |
data |
network_error |
92% |
86% |
ai_generated |
| ParquetReader: Corrupt footer CRC — file may be truncated or overwritten |
— |
data |
data_error |
85% |
88% |
ai_generated |
| SchemaRegistryException: schema is not backward-compatible — field 'phone_number' added without default in version 3 |
42201 |
data |
schema_error |
90% |
92% |
ai_generated |
| CSV file with UTF-8 BOM causes first column name to include \ufeff prefix |
— |
data |
encoding |
90% |
85% |
ai_generated |
| Parquet INT96 timestamp reads as year 5000+ due to Julian date conversion error |
— |
data |
data_error |
80% |
87% |
ai_generated |
| JSON Schema validation fails: format 'email' rejects valid emails with plus signs or international characters |
— |
data |
validation_error |
85% |
90% |
ai_generated |
| Parquet decimal precision overflow when reading into pandas — values truncated or converted to NaN |
— |
data |
type_error |
85% |
88% |
ai_generated |
| Parquet dictionary page truncated — unexpected end of stream |
ParquetDecodingException |
data |
data_error |
80% |
85% |
ai_generated |
| SchemaRegistryTimeoutException: timeout waiting for schema registration |
SchemaRegistryTimeoutException |
data |
network_error |
75% |
82% |
ai_generated |
| CSV parsing error: quote character mismatch — expected '"' but found '' |
CSVParseException |
data |
encoding_error |
90% |
88% |
ai_generated |
| Parquet UINT64 column overflows when cast to signed INT64 in Spark or Arrow |
org.apache.spark.sql.AnalysisException: Overflow in sum of UINT64 |
data |
type_error |
75% |
85% |
ai_generated |
| JSON Schema validation rejects valid date strings due to unknown format 'date-time' |
ValidationError: Unknown format 'date-time' |
data |
validation_error |
90% |
88% |
ai_generated |
| Avro deserialization fails: field 'email' has no default and is missing in writer schema |
org.apache.avro.AvroTypeException: Field email type:STRING pos:12 not set and has no default value |
data |
schema_error |
85% |
90% |
ai_generated |
| CSV parser fails to recognize quoted fields when file starts with UTF-8 BOM |
csv.Error: field larger than field limit (131072) |
data |
encoding_error |
90% |
87% |
ai_generated |
| Protobuf deserialization silently drops unknown oneof fields causing data loss |
No explicit error; silent data corruption |
data |
protocol_error |
80% |
83% |
ai_generated |
| Parquet INT96 timestamp reads with incorrect timezone offset when written by Hive |
No explicit error; timestamp values off by timezone offset |
data |
data_error |
80% |
86% |
ai_generated |
| Parquet row group statistics inaccuracy leads to false predicate pushdown pruning |
— |
data |
data_error |
80% |
85% |
ai_generated |
| CSV file silently corrupts special characters when opened in Excel due to Latin-1 vs UTF-8 encoding mismatch |
— |
data |
encoding_error |
85% |
88% |
ai_generated |
| JSON Schema enum validation fails due to case sensitivity mismatch |
— |
data |
validation_error |
90% |
82% |
ai_generated |
| Avro deserialization fails when union field has null as first element instead of last |
— |
data |
serialization_error |
80% |
83% |
ai_generated |
| CSV parser silently trims leading/trailing whitespace from quoted fields |
— |
data |
data_error |
85% |
86% |
ai_generated |
| Protobuf deserialization produces wrong values when field numbers are reused across different message types |
— |
data |
serialization_error |
90% |
84% |
ai_generated |
| Parquet bloom filter hash mismatch: unexpected hash algorithm ID 0 |
ParquetBloomFilterHashMismatch |
data |
data_error |
78% |
85% |
ai_generated |
| JSON Schema validation fails: format 'iri-reference' is not recognized |
JsonSchemaFormatValidationError |
data |
schema_error |
82% |
88% |
ai_generated |
| CSV parsing error: UnicodeDecodeError with 'charmap' codec when reading ISO-8859-1 encoded file as UTF-8 |
UnicodeDecodeError |
data |
encoding_error |
95% |
90% |
ai_generated |
| Avro deserialization fails with 'Unexpected type for field' when reading old records with new schema |
AvroTypeException |
data |
schema_error |
80% |
87% |
ai_generated |
| Protobuf deserialization fails with 'Unknown enum value' when reading data with new enum values |
InvalidProtocolBufferException |
data |
schema_error |
85% |
86% |
ai_generated |
| JSON Schema validation fails: additional properties not allowed when schema has 'additionalProperties: false' |
JsonSchemaValidationError |
data |
schema_error |
90% |
92% |
ai_generated |
| CSV null vs empty string ambiguity — "" and no-value both become None in pandas |
— |
data |
data_error |
82% |
85% |
ai_generated |
| JSON Schema validation fails: format 'uri' rejects valid URIs with IP addresses or unusual schemes |
— |
data |
validation_error |
80% |
82% |
ai_generated |
| Parquet dictionary encoding collision — distinct string values map to same dictionary key |
— |
data |
data_error |
70% |
80% |
ai_generated |
| Avro deserialization fails: union type ordering mismatch between writer and reader schema |
— |
data |
schema_error |
90% |
88% |
ai_generated |
| JSON Schema validation fails: format 'date-time' rejects valid ISO 8601 timestamps with timezone offset |
— |
data |
validation_error |
85% |
83% |
ai_generated |
| CSV file with UTF-8 BOM causes silent data corruption in Excel on Windows |
— |
data |
encoding_error |
92% |
90% |
ai_generated |
| MongoError: connection pool exhausted |
MongoError |
data |
resource_error |
80% |
85% |
ai_generated |
| WriteConflict: write conflict due to concurrent update on the same document |
WriteConflict |
data |
runtime_error |
78% |
84% |
ai_generated |
| Parquet corrupted min/max statistics cause predicate pushdown to skip valid rows |
ParquetCorruptStatisticsException |
data |
data_error |
85% |
85% |
ai_generated |
| Kafka Connect Avro deserialization fails: field removed in new schema version without default |
SchemaCompatibilityException |
data |
schema_error |
90% |
88% |
ai_generated |
| DuckDB Parquet read error: column count mismatch between schema and data pages |
IOException |
data |
data_error |
80% |
85% |
ai_generated |
| JSON Schema validation fails: format 'uri-reference' rejects valid relative URIs |
ValidationError |
data |
schema_error |
90% |
87% |
ai_generated |
| Protobuf deserialization silently converts unknown enum values to 0 causing logic errors |
— |
data |
data_error |
85% |
86% |
ai_generated |
| CSV file with UTF-16 BOM is misinterpreted as UTF-8, producing garbled column headers |
— |
data |
encoding_error |
90% |
84% |
ai_generated |
| CSV file with UTF-8 encoded data displays as garbled text when opened in Excel or other tools expecting Latin-1 |
— |
data |
encoding_error |
90% |
85% |
ai_generated |
| Snowflake: Error parsing JSON — Object size exceeds maximum length of 16777216 bytes |
100132 |
data |
data_error |
85% |
88% |
ai_generated |
| Parquet float column values 0.1 + 0.2 != 0.3 after round-trip due to floating-point rounding in schema |
— |
data |
type_error |
75% |
82% |
ai_generated |
| Kafka JSON deserialization fails with 'Unknown schema ID' when schema registry is not configured |
KAFKA-ERR-100 |
data |
config_error |
95% |
87% |
ai_generated |
| Avro deserialization fails: union field expects a specific branch but got null |
— |
data |
type_error |
85% |
84% |
ai_generated |
| Parquet timestamp values differ by hours after reading with different timezone settings in Spark or PyArrow |
— |
data |
data_error |
85% |
86% |
ai_generated |
| Hive partition column value silently overwritten to NULL during dynamic partition insert |
HIVE-16997 |
data |
data_error |
82% |
85% |
ai_generated |
| MongoDB CursorNotFoundException: cursor not found on server after timeout |
CursorNotFound |
data |
resource_error |
85% |
88% |
ai_generated |
| Oracle ORA-00020: maximum number of processes (150) exceeded |
ORA-00020 |
data |
resource_error |
92% |
90% |
ai_generated |
| Redis OOM command not allowed when used memory > 'maxmemory' |
OOM |
data |
resource_error |
87% |
89% |
ai_generated |
| Elasticsearch mapping conflict: field 'timestamp' has different type in different indices |
illegal_argument_exception |
data |
schema_error |
84% |
86% |
ai_generated |
| Parquet statistics min/max values are incorrect after row group merge |
PARQUET_STATISTICS_CORRUPT |
data |
data_error |
80% |
85% |
ai_generated |
| Avro schema evolution fails when field type changes from int to long |
AVRO_SCHEMA_EVOLUTION_TYPE_MISMATCH |
data |
schema_error |
75% |
88% |
ai_generated |
| CSV file encoded with Windows-1252 causes garbled text when read as UTF-8 |
CSV_ENCODING_WINDOWS_1252 |
data |
encoding_error |
95% |
90% |
ai_generated |
| Timestamp deserialization fails because epoch is in milliseconds but expected in seconds |
TIMESTAMP_EPOCH_UNIT_MISMATCH |
data |
type_error |
90% |
89% |
ai_generated |